#Call the ACS API, returns a sf object
mn_median_value.df <- get_acs(
geography = "cbg",
variables = "B25077_001",
state = "MN",
county = "Hennepin",
year = 2020,
geometry = TRUE
)
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|======================================================================| 100%#Add text label
mn_label.df <- mn_median_value.df %>%
mutate(
cbg = str_split(NAME,",")%>%
map_chr(1)%>%str_remove("Census Tract "),
text_label = str_c("cbg",cbg,
"\nMedianValue - " ,
scales::dollar(estimate)
)
)
value <- ggplot() +
geom_sf(data = mn_label.df,
aes(fill = estimate, text = text_label),
colour = "black", size = 0.02) +
scale_fill_viridis_c("Median Value", labels = scales::dollar) +
theme_void() +
theme(legend.position = "right")+
labs(title="Median House Value in Hennepin County in 2020")
ggplotly(value, tooltip = "text") %>%
style(hoveron = "fills")